Valeriy Khakhutskyy 95758e88a2 [ML] Explain anomaly score factors (#90675) ... This PR surfaces new information about the impact of the factors on the initial anomaly score in the anomaly record: - single bucket impact is determined by the deviation between actual and typical in the current bucket - multi-bucket impact is determined by the deviation between actual and typical in the past 12 buckets - anomaly characteristics are statistical properties of the current anomaly compared to the historical observations - high variance penalty is the reduction of anomaly score in the buckets with large confidence intervals. - incomplete bucket penalty is the reduction of anomaly score in the buckets with fewer samples than historically expected. Additionally, we compute lower- and upper-confidence bounds and the typical value for the anomaly records. This improves the explainability of the cases where the model plot is not activated with only a slight overhead in performance (1-2%).		2022-10-12 16:57:06 +02:00
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anomaly-detection	[ML] Explain anomaly score factors (#90675)	2022-10-12 16:57:06 +02:00
common/apis	[ML] Performance improvements for categorization jobs (#89824)	2022-09-08 18:41:01 +01:00
df-analytics/apis	[ML] Lift limit of max number of classes for classification to 100 (#89755)	2022-09-01 10:47:58 +03:00
images	[DOCS] Updates anomaly detection alert rule type screenshot. (#89532)	2022-08-23 15:37:40 +02:00
trained-models/apis	[ML] Add api to update trained model deployment number_of_allocations (#90728)	2022-10-12 10:04:23 +03:00
ml-shared.asciidoc	[ML] add text_similarity nlp task documentation (#88994)	2022-08-02 12:17:14 -04:00